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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Keywords: Chicago IL Jobs, Machine Learning Engineer, Python, C. TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Using tools such as SQL, DataBricks, Talend, Python, Microsoft Power Platform and Azure Data Factory.
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Lead Machine Learning Engineer (Python, Spark, MLOPS, AWS) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. Experience working in vector databases like Milvus, Pinecone, or Weaviate Experience using machine learning in data pipelines to discover, classify, and clean data.
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Robotics Lab ( Duties & ResponsibilitiesDesign, implement, and/or evaluate a method to facilitate user-robot co-adaptation in a wearable robot using data-driven machine learning predictionMentor/supervise/assist research activities within the lab for graduate/undergraduate students regarding control, mechatronics design, data analysis, human subject experiment, experimental protocol design, result interpretation/presentations, and/or manuscript preparations.
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To support the building, reviewing, and refining of machine learning models related to risk assessment and mitigation efforts for law enforcement. Masters in a quantitative field or computer science preferred, but all applicants are considered based on education, experience and demonstrated skills (e.g., GitHub repositories)Experience building and selecting machine learning models (e.g., logistic regression, decision trees, random forest, SVM, etc.
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You'll bring a background in machine learning or AI data analysis and participate in a variety of projects including building and refining taxonomies, classifying online content, analyzing search behavior, and researching salaries and responsibilities for a wide range of occupations.
$162,200 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy and statsmodel. Design, develop and optimize predictive models using machine learning to solve complex (clustering, classification, regression, simulation, and optimization) problems on large-scale data sets, which ultimately optimizes and increases clinical outcomes.
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Hands-on developer of internal models/processes such as machine learning models, numerical optimization, statistical significance testing, ML-as-a-service API development, and streaming event data processing.
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Deep knowledge and hands-on expertise in predictive modeling, statistical inference, machine learning, and other advanced analytical techniques. The focus of the team is to apply machine learning, predictive analysis, and data-mining techniques to develop accurate, explainable, and replicable solutions for our clients.
$266,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You Will Be Doing Tech Breakdown 70% Data Engineering 20% Data Analytics 10% Machine Learning Daily Responsibilities 80% Hands On 0% Management Duties 20% Team Collaboration The Offer 10% Bonus Stock Options You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today
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